Scalar Quantization with Random Thresholds

Details Scalar Quantization with Random Thresholds Scalar Quantization with Random Thresholds

2011-05-10

arxiv.org/abs/1105.2062v2

IEEE Signal Processing Letters, vol. 18, no. 9, pp. 525-528, September 2011

Computer Science

Information Theory

4 pages, 2 figures

Scientific paper

10.1109/LSP.2011.2161867

The distortion-rate performance of certain randomly-designed scalar quantizers is determined. The central results are the mean-squared error distortion and output entropy for quantizing a uniform random variable with thresholds drawn independently from a uniform distribution. The distortion is at most 6 times that of an optimal (deterministically-designed) quantizer, and for a large number of levels the output entropy is reduced by approximately (1-gamma)/(ln 2) bits, where gamma is the Euler-Mascheroni constant. This shows that the high-rate asymptotic distortion of these quantizers in an entropy-constrained context is worse than the optimal quantizer by at most a factor of 6 exp(-2(1-gamma)).

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